Stochastic Optimization

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9 papers in the last four weeks, up 125% on the four weeks before. 0.1% of all new papers.

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  1. Bridging Graph Drawing and Dimensionality Reduction with Stochastic Stress Optimization

    May 1, 2026Daniel Hangan, Stephen Kobourov, Jacob MillerDimensionality ReductionGraph Representations

    Technical University of Munich

  2. High-Probability Convergence in Decentralized Stochastic Optimization with Gradient Tracking

    Apr 30, 2026Aleksandar Armacki, Haoyuan Cai, Ali H. SayedDecentralized OptimizationStochastic Gradient Descent

    Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

  3. Information-Theoretic Generalization Bounds for Stochastic Gradient Descent with Predictable Virtual Noise

    Apr 30, 2026Mohammad PartohaghighiStochastic Gradient DescentGeneralization Bounds

    Electrical Engineering and Computer Science University of California, Merced Merced, CA, USA

  4. Robust Out-of-Distribution Stochastic Optimization

    Apr 22, 2026Xianyu Li, Huan Xu, Xiaolin Huang +1Distributionally-Robust OptimizationOut-Of-Distribution

    Department of Automation, Tsinghua University · Antai College of Economics & Management, Shanghai Jiao Tong University · Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University

  5. TESO: Online Tracking of Essential Matrix by Stochastic Optimization

    Apr 21, 2026Jaroslav Moravec, Radim Šára, Akihiro SugimotoHomographyMatrix

    Czech Technical University · in Prague, Czech Republic · National Institute of Informatics +1

  6. Towards Fully Parameter-Free Stochastic Optimization: Grid Search with Self-Bounding Analysis

    Apr 18, 2026Yuheng Zhao, Yu-Hu Yan, Amit Attia +3Stochastic OptimizationGeneral Grid Search Framework

    National Key Laboratory for Novel Software Technology, Nanjing University, China · School of Artificial Intelligence, Nanjing University, China · Tel Aviv University

  7. Stein Variational Black-Box Combinatorial Optimization

    Apr 17, 2026Thomas Landais, Olivier Goudet, Adrien Goëffon +2Black-Box OptimizationStochastic Optimization

    LERIA, Université d’Angers, 2 Boulevard Lavoisier, Angers 49045, France

  8. Adjoint Matching through the Lens of the Stochastic Maximum Principle in Optimal Control

    Mar 28, 2026Carles Domingo-Enrich, Jiequn HanAdjoint MatchingStochastic Optimal Control

    Microsoft Research New England · Flatiron Institute

  9. Convergence Rate of a Functional Learning Method for Contextual Stochastic Optimization

    Mar 13, 2026Noel Smith, Andrzej RuszczynskiStochastic OptimizationOptimal Learner

    Department of Management Science and Information Systems, Rutgers University

  10. First-Order Softmax Weighted Switching Gradient Method for Distributed Stochastic Minimax Optimization with Stochastic Constraints

    Mar 6, 2026Zhankun Luo, Antesh Upadhyay, Sang Bin Moon +1Decentralized OptimizationStochastic Optimization

    School of Electrical and Computer Engineering, Purdue University

  11. Beyond Slater's Condition in Online CMDPs with Stochastic and Adversarial Constraints

    Sep 24, 2025Francesco Emanuele Stradi, Eleonora Fidelia Chiefari, Matteo Castiglioni +2Markov Decision ProcessesStochastic Optimization

    Politecnico di Milano

  12. Primal-dual algorithm for contextual stochastic combinatorial optimization

    May 7, 2025Louis Bouvier, Thibault Prunet, Vincent Leclère +1Stochastic OptimizationNeural Combinatorial Optimization

    Co-innovation lab, ENPC, Institut Polytechnique de Paris, Marne-la-Vallée, France · Université de Bordeaux, CNRS, INRIA, IMB, UMR 5251, Talence, France · CERMICS, CNRS, ENPC, Institut Polytechnique de Paris, Marne-la-Vallée, France

  13. A Provably Convergent Plug-and-Play Framework for Stochastic Bilevel Optimization

    May 2, 2025Tianshu Chu, Dachuan Xu, Wei Yao +2Bilevel OptimizationStochastic Optimization

    Institute of Operations Research and Information Engineering, Beijing University of Technology · National Center for Applied Mathematics Shenzhen · National Center for Applied Mathematics Shenzhen, and Department of Mathematics, Southern University of Science and Technology +2

  14. Towards Weaker Variance Assumptions for Stochastic Optimization

    Apr 14, 2025Ahmet Alacaoglu, Yura Malitsky, Stephen J. WrightStochastic Convex OptimizationStochastic Optimization

    Department of Mathematics, University of British Columbia · Faculty of Mathematics, University of Vienna · Department of Computer Sciences, University of Wisconsin–Madison

  15. Navigating Demand Uncertainty in Container Shipping: Deep Reinforcement Learning for Enabling Adaptive and Feasible Master Stowage Planning

    Feb 18, 2025Jaike van Twiller, Yossiri Adulyasak, Erick Delage +2LogisticsStochastic Optimization

    IT University of Copenhagen, Denmark · HEC Montréal, Qc, Canada · GERAD, Qc, Canada +1

  16. Rough Stochastic Pontryagin Maximum Principle and an Indirect Shooting Method

    Feb 10, 2025Thomas LewStochastic Optimal ControlStochastic Optimization

    Toyota Research Institute

  17. Semi-Bandit Learning for Monotone Stochastic Optimization

    Dec 24, 2023Arpit Agarwal, Rohan Ghuge, Viswanath Nagarajan +1Stochastic Multi-Armed BanditsStochastic Optimization

    Department of Computer Science & Engineering, Indian Institute of Technology Bombay, Mumbai, India. · Department of Information, Risk, and Operations Management, University of Texas at Austin, Austin, USA. · Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, USA.